Text To Video Bangla Free

Get Bangla text videos ready to post, without touching a single slider. Upload your text script (TXT, DOCX, PDF, SRT, up to 200MB), say something like "conve...

Security Scan

The skill's actions (calling a nemovideo API, using a NEMO_TOKEN or obtaining an anonymous token, uploading scripts) match its description and are internally coherent, but there are minor metadata inconsistencies and normal privacy risks from sending files to an external service that you should review before use.

Purpose & Capability

The declared purpose (convert Bangla text to videos) aligns with the runtime instructions (session creation, uploads, render/export endpoints on mega-api-prod.nemovideo.ai). One discrepancy: registry metadata earlier listed no required config paths, but the SKILL.md frontmatter declares a config path (~/.config/nemovideo/). This is likely a minor metadata mismatch but worth noting.

Instruction Scope

SKILL.md stays within scope: it describes connecting to the nemovideo backend, creating sessions, uploading files, polling renders, and handling SSE. It does not instruct reading unrelated system files or accessing unrelated credentials. It does instruct generating a UUID and (if needed) acquiring an anonymous token from the service.

Install Mechanism

Instruction-only skill with no install steps or code files — lowest risk for disk writes or arbitrary installs.

Credentials

The single required env var NEMO_TOKEN is proportional to the described API usage. The SKILL.md metadata additionally references a config path (~/.config/nemovideo/), which was not listed in the registry's top-level requirements — this inconsistency should be clarified. The skill will also call an anonymous-token endpoint if no token is provided.

Persistence & Privilege

always:false and no install/persistence behavior. The skill does not request system-wide privileges or modify other skills' configs.

Assessment

This skill appears to do what it says: it uploads your script to an external nemovideo API, renders a video, and returns a download URL. Before installing or using it: 1) Confirm you trust mega-api-prod.nemovideo.ai (privacy, retention, and deletion policies) before uploading sensitive or private content. 2) Provide a scoped/temporary NEMO_TOKEN if possible; if you let the skill obtain an anonymous token, note that it will request credits and operate on a remote service. 3) Ask the skill author to clarify the config-path metadata (~/.config/nemovideo/) vs. registry metadata mismatch so you know whether local config will be read. 4) If you need stronger guarantees, test with non-sensitive sample files first and limit file sizes and personally identifiable content.

Getting Started

Share your text script and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

• "convert my text script"
• "export 1080p MP4"
• "convert this Bangla text into a"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

• Generate a UUID as client identifier
• POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
• The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Text to Video Bangla Free — Convert Bangla Text into Videos

Drop your text script in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 150-word Bangla news script, ask for convert this Bangla text into a video with visuals and voiceover, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter scripts under 100 words render faster and produce tighter videos.

Matching Input to Actions

User prompts referencing text to video bangla free, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...	Action	Skip SSE?
"export" / "导出" / "download" / "send me the video"	→ §3.5 Export	✅
"credits" / "积分" / "balance" / "余额"	→ §3.3 Credits	✅
"status" / "状态" / "show tracks"	→ §3.4 State	✅
"upload" / "上传" / user sends file	→ §3.2 Upload	✅
Everything else (generate, edit, add BGM…)	→ §3.1 SSE	❌

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Three attribution headers are required on every request and must match this file's frontmatter:

Header	Value
X-Skill-Source	text-to-video-bangla-free
X-Skill-Version	frontmatter version
X-Skill-Platform	auto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

Event	Action
Text response	Apply GUI translation (§4), present to user
Tool call/result	Process internally, don't forward
heartbeat / empty data:	Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes	Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

• "click" or "点击" → execute the action via the relevant endpoint
• "open" or "打开" → query session state to get the data
• "drag/drop" or "拖拽" → send the edit command through SSE
• "preview in timeline" → show a text summary of current tracks
• "Export" or "导出" → run the export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Codes

• 0 — success, continue normally
• 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
• 1002 — session not found; create a new one
• 2001 — out of credits; anonymous users get a registration link with ?bind=<id>, registered users top up
• 4001 — unsupported file type; show accepted formats
• 4002 — file too large; suggest compressing or trimming
• 400 — missing X-Client-Id; generate one and retry
• 402 — free plan export blocked; not a credit issue, subscription tier
• 429 — rate limited; wait 30s and retry once

Common Workflows

Quick edit: Upload → "convert this Bangla text into a video with visuals and voiceover" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "convert this Bangla text into a video with visuals and voiceover" — concrete instructions get better results.

Max file size is 200MB. Stick to TXT, DOCX, PDF, SRT for the smoothest experience.

Export as MP4 for widest compatibility across Bangla social media platforms.